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Selecting informative subsets of sparse supermatrices increases the chance to find correct trees

Character matrices with extensive missing data are frequently used in phylogenomics with potentially detrimental effects on the accuracy and robustness of tree inference. Therefore, many investigators select taxa and genes with high data coverage. |